An SEG Advanced Modeling Corporation Featured Session

Research conducted by industry, government laboratories, and academic institutions has extensively utilized the models and data provided by SEG Advanced Modeling Corporation (SEAM) for various studies. Over the past two decades, SEAM, the research arm of SEG, has successfully undertaken several significant projects aimed at addressing geophysical challenges. Moreover, SEAM has facilitated access to non-proprietary benchmark data, aiding in the development of algorithms and workflows.

The research efforts of SEAM have enabled the scientific community to compare results against industry standards, establishing these benchmark data as the gold standard in applied geophysics. The enduring value of SEAM's data and models continues to serve as a vital learning resource for interdisciplinary collaboration, with the invaluable support of its sponsors and partners.

IMAGE 2024 is pleased to host "SEAM: Supporting Applied Geophysical Research Since 2007”. The organizers express their gratitude to the presenters for bringing their perspectives, methodologies, and experiences to an open discussion with the geoscience community!

The Session will highlight a variety of work that sponsors and others have carried out using SEAM models and data. Our talks will include:

• SEAM Modeling of CO₂ Sequestration: Evaluating geophysical methods for characterization – Michael Fehler, SEG
• Utilization of SEAM at Oxy, with a focus on the Barrett Unconventional model – Norbert Van De Coevering, Oxy
• Signal Processing and Imaging of Salt Flanks Using SEAM Salt Model – Yunyue Elita Li, Purdue University
• CO2 Monitoring in Deserts Using DAS, Ultra-Sparse Sources, and Deep Learning: Insights from SEAM Arid Model and Field Data – Vladimir Kazei*, Qie Zhang and Weichang Li, Aramco
• AI-based workflow for generating horizon volume from seismic post stack images: Case study using SEAM dataset – Aria Abubakar and Haibin Di, SLB

Fee:

Included with Registration
(RSVP optional)

Room Assignment:

George R. Brown Convention Center, Level 3, Room 330